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Predicting Length of Stay using machine learning for total joint replacements performed at a rural community hospital.

Srinivasan SridharBradley WhitakerAmy Mouat-HunterBernadette McCrory
Published in: PloS one (2022)
This pilot study is the first of its kind to develop an ML model to predict LOS for TJR procedures that were performed at a small-scale rural community hospital. This pilot study contributes an approach for rural hospitals, making them more independent by developing their own predictions instead of relying on public models.
Keyphrases
  • healthcare
  • south africa
  • mental health
  • adverse drug
  • acute care
  • emergency department